This study evaluates the efficiency of district hospitals in Senegal during a specific period. A Bayesian hierarchical model was employed to analyse data from Senegalese district hospitals. The model accounts for variations in system efficiencies across different districts while controlling for common factors like patient volume and resource availability. The analysis revealed a significant improvement in hospital efficiency, with an estimated increase of 25% in operational effectiveness when using the hierarchical Bayesian approach compared to traditional methods. Bayesian hierarchical models effectively quantify and highlight improvements in hospital system efficiencies. This method provides clearer insights into district-specific challenges and solutions. District health officials should adopt this model for ongoing performance evaluations, ensuring continuous improvement and resource allocation optimization. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ndiaye Halimatou Diop (Sun,) studied this question.